G2

Aliasgar B.

Software Engineer

Small-Business (50 or fewer emp.)

8/4/2026

"Clean, Smooth UI with Excellent Onboarding and Infrastructure Visuals"

4/5

What do you like best about IBM watsonx.data?

The UI is clean and easy to navigate, especially for someone using the platform for the first time. The getting started guides and onboarding flow helped me understand the different components without needing to spend much time reading documentation .

One feature I liked was the infrastructure section. It provides a visual interface that feels similar to tools like n8n,

The storage integration experience is also well designed. It supports connecting to services like Amazon S3, Redis, PostgreSQL, MySQL, and other data sources from the interface.

In free mode i not able to add components but it was good and performance was aslo good every click feels smooth Review collected by and hosted on G2.com.

What do you dislike about IBM watsonx.data?

The biggest issue I encountered was around Spark engine management. When I tried stopping the Spark server from the infrastructure page, I repeatedly received error messages even after pausing the engine and related services. The error messages weren't very descriptive, so it was difficult to understand what was actually wrong or how to resolve it. Better diagnostics and more user-friendly error messages would improve the experience. I also noticed IBM documents several known Spark UI and engine-related limitations, so I hope these areas continue to improve.

Another area that could be improved is the Query Workspace. While it's functional, the interface feels a bit too compact, especially on smaller screens. More spacing and a cleaner layout would make writing and reviewing queries more comfortable. Review collected by and hosted on G2.com.

What problems is IBM watsonx.data solving and how is that benefiting you?

As a student, I mostly used watsonx.data to learn. From what I understood, it's useful for companies that have data spread across different storage systems and want a single place to manage and query it, especially for AI and analytics use cases. It also helped me understand how enterprise data platforms work in practice. Review collected by and hosted on G2.com.